Long-Term Effects of Cognitive Training on All-Cause Mortality in US Older Adults

Associations of cognitive impairment and functional limitation with all-cause mortality risk in older adults: A population-based study from the National Health and Nutrition Examination Survey

Cognitive impairment and functional limitation are commonly observed in older adults. They have a complex correlation, and both are risk factors for mortality. This prospective cohort study aimed to explore the independent and joint impact of cognitive impairment and functional limitations on all-cause mortality in older adults. A total of 3,759 participants aged ≥ 60 years who had available information on mortality data, cognitive function, physical function, and covariates were enrolled. Cox proportional hazards regression models were employed to assess the independent and joint impacts of cognitive impairment and functional limitation on all-cause mortality. Smoothing curve fitting was used to show the nonlinear relationship between the Digit Symbol Coding (DSC) score and all-cause mortality. An interaction between cognitive impairment and functional limitation was identified when examining their associations with all-cause mortality. Cognitive impairment and functional limitation independently correlated with all-cause mortality risk even after adjusting for covariates and performing mutual adjustments (HR for cognitive impairment: 1.34, 95% CI 1.15-1.56; HR for functional limitation: 1.50, 95% CI 1.32-1.70). When the DSC score was > 18, as the score increased, the risk of death significantly decreased (HR 0.99, 95% CI 0.98-0.99). Participants with both cognitive impairment and functional limitation had the highest hazard ratio for all-cause mortality (HR 1.98, 95%CI 1.63-2.40). In summary, cognitive impairment and functional limitation independently correlated with increased all-cause mortality risk. A higher DSC score was a protective factor reducing the premature mortality risk. Older adults with cognitive impairment and functional limitation demonstrated the highest all-cause mortality risk.

Computerized Cognitive Training and 24-Month Mortality in Heart Failure

BACKGROUND

Cognitive dysfunction predicts mortality in heart failure (HF). Computerized cognitive training (CCT) has shown preliminary efficacy in improving cognitive function. However, the relationship between CCT and mortality is unclear. Aims were to evaluate (1) long-term efficacy of CCT in reducing 24-month mortality and (2) age, HF severity, global cognition, memory, working memory, depressive symptoms, and health-related quality of life as predictors of 24-month mortality among patients with HF.

METHODS

In this prospective longitudinal study, 142 patients enrolled in a 3-arm randomized controlled trial were followed for 24 months. Logistic regression was used to achieve the aims.

RESULTS

Across 24 months, 16 patients died (CCT, 8.3%; control groups, 12.8%). Computerized cognitive training did not predict 24-month mortality (odds ratio [OR], 0.65). Older age (OR, 1.08), worse global cognition (OR, 0.73), memory (OR, 0.81), and depressive symptoms (OR, 1.10) at baseline predicted 24-month mortality.

CONCLUSIONS

Efficacious interventions are needed to improve global cognition, memory, and depressive symptoms and reduce mortality in HF.

The Relationship Between Cognition and Mortality Among Older Black and White Men in Advanced Cognitive Training for Independent and Vital Elderly

Objective: To determine the association between baseline cognition and all-cause mortality among Black men and White men. Methods: Data were from 614 Black and White men aged ≥65 years at baseline in the Advanced Cognitive Training for Independent and Vital Elderly trial and their linked mortality information. Cox proportional hazards models were used to determine the association between baseline cognition (memory, reasoning, speed of processing, Mini Mental State Exam) and mortality risk over 20 years, adjusting for covariates. Results: Among White men, higher performance on the memory composite measure was associated with a decreased risk of all-cause mortality (HR: 0.93; 95% CI: 0.89-0.98), whereas the other cognitive measures were not associated with all-cause mortality risk. Among Black men, none of the cognitive measures was associated with all-cause mortality risk. Discussion: There is a need for future work to recruit and retain a larger sample of older Black men to better understand the cognition-mortality relationship.